New and advanced analytics and predictive capabilities are promised for enterprises working with the new release of its HP’s Haven Big Data Enterprise and OnDemand Platform

HP says that the Haven Connector Framework capability now combines the context-aware, unstructured data analytics of HP IDOL with the advanced SQL-based analytics capabilities of HP Vertica. This widens the universe of information that can be ingested and analyzed by HP Haven to hundreds of different enterprise and cloud data sources, including Microsoft Exchange, Microsoft SharePoint, Oracle and SAP enterprise applications, Box.net, Salesforce.com, Google Drive, and many others.

In addition, the HP Haven Big Data Platform now includes a Knowledge Graphing feature. This tool is designed to enable organisations to uncover and analyse relationships and connections among information entities for more advanced and contextually aware semantic search within diverse structured and unstructured data sources such as social media content feeds. For example, an enterprise can build an ‘experts and influencers catalogue' of who-knows-what and who-knows-whom to fully capture and leverage organizational expertise.

"Over the past 18 months, Nottingham Trent University, one of the largest universities in the U.K. with over 28,000 students, has used the HP Haven Big Data Platform to proactively identify underperforming students at risk of potentially failing or dropping out. The university can now intervene to provide support earlier before a material problem develops, leading to more successful student outcomes and improved retention, which of course is a key metric," said Howard Hall, group managing director of DTP Group, an HP partner.

"With HP Haven's unified design platform and industry-leading predictive analytics capabilities, NTU estimates their tutors are able to intervene six to eight weeks earlier than without the Big Data solution. Our tutors have said the system has resulted in positive changes in workgroup interaction."

The new release features speech–to-text analytics that claims unmatched accuracy for over 20 languages, including French, German, Spanish, Greek, Arabic, Portuguese, Russian, and Mandarin. The result of tens of thousands of hours of audio sampling via the self-learning neural network technology, HP says that Haven Speech-to-Text analytics delivers up to a 75% reduction in errors as compared to traditional, statistical model approaches.

Other capabilities in this new release of HP Haven include:

Targeted Query Response – Developers can refine and customize search results based on specific sets of criteria such as the user's profile information, to ensure that the most relevant information and insights are delivered instantly.

IDOL Search Optimizer – Managers can gain greater transparency using IDOL Search Optimizer to preview and understand the types of searches being conducted by users, and see the quality of results being returned. Also, a manager can schedule promotions to elevate certain search results for a defined period.

"This new HP Haven release offers global organizations the most comprehensive set of high-performance analytics capabilities through a single integrated, yet modular, platform design," said Jeff Veis, vice president of Marketing, Big Data, HP Software.

"Businesses can reap the full power of enterprise data and big data computing across virtually any data type, from free-text-based document search to high-resolution broadcast video surveillance analytics. Further, with the HP Haven Big Data Platform, they don't have to rely on specialized data scientists and costly, complex integration projects to do so."